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Estimation of myocardial strain from non-rigid registration and highly accelerated cine CMR

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Abstract

Sparsely sampled cardiac cine accelerated acquisitions show promise for faster evaluation of left-ventricular function. Myocardial strain estimation using image feature tracking methods is also becoming widespread. However, it is not known whether highly accelerated acquisitions also provide reliable feature tracking strain estimates. Twenty patients and twenty healthy volunteers were imaged with conventional 14-beat/slice cine acquisition (STD), 4× accelerated 4-beat/slice acquisition with iterative reconstruction (R4), and a 9.2× accelerated 2-beat/slice real-time acquisition with sparse sampling and iterative reconstruction (R9.2). Radial and circumferential strains were calculated using non-rigid registration in the mid-ventricle short-axis slice and inter-observer errors were evaluated. Consistency was assessed using intra-class correlation coefficients (ICC) and bias with Bland–Altman analysis. Peak circumferential strain magnitude was highly consistent between STD and R4 and R9.2 (ICC = 0.876 and 0.884, respectively). Average bias was −1.7 ± 2.0 %, p < 0.001, for R4 and −2.7 ± 1.9 %, p < 0.001 for R9.2. Peak radial strain was also highly consistent (ICC = 0.829 and 0.785, respectively), with average bias −11.2 ± 18.4 %, p < 0.001, for R4 and −15.0 ± 21.2 %, p < 0.001 for R9.2. STD circumferential strain could be predicted by linear regression from R9.2 with an R2 of 0.82 and a root mean squared error of 1.8 %. Similarly, radial strain could be predicted with an R2 of 0.67 and a root mean squared error of 21.3 %. Inter-observer errors were not significantly different between methods, except for peak circumferential strain R9.2 (1.1 ± 1.9 %) versus STD (0.3 ± 1.0 %), p = 0.011. Although small systematic differences were observed in strain, these were highly consistent with standard acquisitions, suggesting that accelerated myocardial strain is feasible and reliable in patients who require short acquisition durations.

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Acknowledgments

This work was funded by Siemens Healthcare GmbH and the Health Research Council of New Zealand. We thank Michael Zenge PhD (Siemens Healthcare GmbH) for providing the pulse sequence.

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Authors and Affiliations

  1. Department of Radiology, Auckland District Health Board, Auckland, New Zealand

    Jonathan E. N. Langton

  2. Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand

    Hoi-Ieng Lam, Brett R. Cowan & Alistair A. Young

  3. Auckland District Health Board, Auckland, New Zealand

    Christopher J. Occleshaw, Ruvin Gabriel, Boris Lowe & Suzanne Lydiard

  4. Siemens Healthcare GmbH, Erlangen, Germany

    Andreas Greiser & Michaela Schmidt

  5. Department of Anatomy with Radiology, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Road, Auckland, 1142, New Zealand

    Alistair A. Young

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  1. Jonathan E. N. Langton
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  2. Hoi-Ieng Lam
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  3. Brett R. Cowan
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  4. Christopher J. Occleshaw
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  9. Michaela Schmidt
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  10. Alistair A. Young
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Correspondence to Alistair A. Young.

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Conflict of interest

BRC and AAY report receiving consulting fees from Siemens Healthcare GmbH; AG and MS are employees of Siemens Healthcare GmbH.

Ethical standards

All human studies were approved by the appropriate ethics committees and have therefore been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. All persons gave their informed consent prior to their inclusion in the study. Details that might disclose the identity of the subjects under study have been omitted.

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Langton, J.E.N., Lam, HI., Cowan, B.R. et al. Estimation of myocardial strain from non-rigid registration and highly accelerated cine CMR. Int J Cardiovasc Imaging 33, 101–107 (2017). https://doi.org/10.1007/s10554-016-0978-x

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  • DOI: https://doi.org/10.1007/s10554-016-0978-x

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